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Canonical

<div>
 Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
 <br/>
 <br/>
 The company is founder led, profitable and growing. We are hiring
 <strong>
  Python and Kubernetes Specialist Engineers focused on Data, Workflows, AI/ML and Analytics Solutions
 </strong>
 to join our teams building open source solutions for public cloud and private infrastructure.
 <br/>
 <br/>
 As a software engineer on the team, you'll collaborate on end-to-end data analytics and MLOps solutions composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast. You may also work on ETL, data governance and visualization tools like Apache SuperSet, dbt, workflow orchestration tools such as Airflow and Temporal, or data warehouse solutions such as Apache Trino, or ClickHouse. These solutions may be run on servers or on the cloud, on machines or on Kubernetes, on developer desktops, or as web services.
 <br/>
 <br/>
 We serve the needs of individuals and community members as much as the needs of our Global 2000 and Fortune 500 customers; we make our primary work available free of charge and our Pro subscriptions are also available to individuals for personal use at no cost. Our goal is to enable more people to enjoy the benefits of open source, regardless of their circumstances.
 <br/>
 <br/>
 <strong>
  Location:
 </strong>
 This initiative spans many teams that are home-based and in multiple time zones. We believe in distributed collaboration but we also try to ensure that colleagues have company during their work hours! Successful candidates will join a team where most members and your manager are broadly in the same time zone so that you have the benefits of constant collaboration and discussion.
 <br/>
 <br/>
 <strong>
  What your day will look like
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer
  </li>
  <li>
   Design, build and maintain solutions that will be deployed on public and private clouds and local workstations
  </li>
  <li>
   Master distributed systems concepts such as observability, identity, tracing
  </li>
  <li>
   Work with both Kubernetes and machine-oriented open source applications
  </li>
  <li>
   Collaborate proactively with a distributed team of engineers, designers and product managers
  </li>
  <li>
   Debug issues and interact in public with upstream and Ubuntu communities
  </li>
  <li>
   Generate and discuss ideas, and collaborate on finding good solutions
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What we are looking for in you
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Professional or academic software delivery using Python
  </li>
  <li>
   Exceptional academic track record from both high school and university
  </li>
  <li>
   Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
  </li>
  <li>
   Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
  </li>
  <li>
   Track record of going above-and-beyond expectations to achieve outstanding results
  </li>
  <li>
   Passion for technology evidenced by personal projects and initiatives
  </li>
  <li>
   The work ethic and confidence to shine alongside motivated colleagues
  </li>
  <li>
   Professional written and spoken English with excellent presentation skills
  </li>
  <li>
   Experience with Linux (Debian or Ubuntu preferred)
  </li>
  <li>
   Excellent interpersonal skills, curiosity, flexibility, and accountability
  </li>
  <li>
   Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation
  </li>
  <li>
   Thoughtfulness and self-motivation
  </li>
  <li>
   Result-oriented, with a personal drive to meet commitments
  </li>
  <li>
   Ability to travel twice a year, for company events up to two weeks long
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Additional skills that would be nice to have
  <br/>
  <br/>
 </strong>
 The following skills may be helpful to you in the role, but we don't expect everyone to bring all of them.
 <br/>
 <br/>
 <ul>
  <li>
   Proven track record of building highly automated machine learning solutions, data pipelines, or orchestrating workflows for the cloud.
  </li>
  <li>
   Hands-on experience with machine learning libraries, or tools.
  </li>
  <li>
   Experience with container technologies (Docker, LXD, Kubernetes, etc.)
  </li>
  <li>
   Experience with public clouds (AWS, Azure, Google Cloud)
  </li>
  <li>
   Working knowledge of cloud computing
  </li>
  <li>
   Passionate about software quality and testing
  </li>
  <li>
   Experience working on an open source project
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What we offer colleagues
  <br/>
  <br/>
 </strong>
 We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
 <br/>
 <br/>
 <ul>
  <li>
   Distributed work environment with twice-yearly team sprints in person
  </li>
  <li>
   Personal learning and development budget of USD 2,000 per year
  </li>
  <li>
   Annual compensation review
  </li>
  <li>
   Recognition rewards
  </li>
  <li>
   Annual holiday leave
  </li>
  <li>
   Maternity and paternity leave
  </li>
  <li>
   Employee Assistance Programme
  </li>
  <li>
   Opportunity to travel to new locations to meet colleagues
  </li>
  <li>
   Priority Pass, and travel upgrades for long haul company events
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Canonical
  <br/>
  <br/>
 </strong>
 Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.
 <br/>
 <br/>
 <strong>
  Canonical is an equal opportunity employer
  <br/>
  <br/>
 </strong>
 We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
 <br/>
 <br/>
</div>


Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics

Carnegie Mellon University

<div>
 We are hiring AI Engineer in our Qatar campus.
 <br/>
 <br/>
 The AI Engineer will serve as a core member of the Computing Services team, responsible for designing, developing, supporting, and deploying AI-driven solutions that advance the campus&rsquo; academic, research, and administrative missions. This role combines strong technical expertise with excellent communication, documentation, and training skills. The AI Engineer will also lead training initiatives to foster AI adoption and promote the responsible, ethical, and innovative use of AI technologies across the campus community.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <strong>
  AI Development, Support &amp; Deployment (50%)
  <br/>
  <br/>
 </strong>
 Serve as a primary support resource for the AI service catalog by addressing inquiries, troubleshooting issues, and ensuring timely resolution in collaboration with technical teams.
 <br/>
 <br/>
 Maintain, support, and continuously improve existing AI tools and services used by faculty, staff, and students.
 <br/>
 <br/>
 Design and implement AI solutions using Python and standard frameworks such as scikit-learn, PyTorch, and TensorFlow.
 <br/>
 <br/>
 Develop and deploy AI services that integrate with both on-premise and cloud infrastructure.
 <br/>
 <br/>
 Leverage experience with AI/ML solutions in
 <strong>
  Azure, AWS, or Google Cloud environments
 </strong>
 to support scalable deployments.
 <br/>
 <br/>
 Partner with IT security and data governance teams to ensure AI solutions comply with institutional standards, research data policies (e.g., FERPA), and ethical AI guidelines
 <br/>
 <br/>
 <strong>
  Training, Stakeholder Engagement &amp; Documentation (30%)
  <br/>
  <br/>
 </strong>
 Design and deliver engaging AI workshops tailored to faculty, staff, and students to build AI literacy, awareness, and practical application skills.
 <br/>
 <br/>
 Create clear and actionable training materials, guides, and documentation that empower campus stakeholders to co-develop and utilize AI solutions.
 <br/>
 <br/>
 Maintain a comprehensive, user-friendly repository of AI architectures, workflows, project documentation, and educational resources.
 <br/>
 <br/>
 <strong>
  Research, Innovation &amp; Technology Evaluation (10%)
  <br/>
  <br/>
 </strong>
 Stay up to date on emerging AI trends, frameworks, and cloud services, particularly those relevant to higher education and academic research.
 <br/>
 <br/>
 Evaluate and recommend new tools, platforms, and frameworks to support instructional innovation, research computing, and operational effectiveness.
 <br/>
 <br/>
 Identify and explore new AI use cases on campus; contribute to ideation pipelines, pilot initiatives, and early-stage implementations.
 <br/>
 <br/>
 <strong>
  Collaboration (10%)
  <br/>
  <br/>
 </strong>
 Work closely with faculty, researchers, staff, and students to understand institutional needs and co-design AI-powered solutions.
 <br/>
 <br/>
 Cultivate and maintain strong relationships with key stakeholders, vendors, and colleagues across departments and the university&rsquo;s main campus.
 <br/>
 <br/>
 <strong>
  Minimum Qualifications
  <br/>
  <br/>
 </strong>
 <strong>
  Education:
  <br/>
  <br/>
 </strong>
 Bachelor&rsquo;s degree in Computer Science, Data Science, Engineering, or a related field is required.
 <br/>
 <br/>
 Master&rsquo;s degree preferred.
 <br/>
 <br/>
 <strong>
  Experience:
  <br/>
  <br/>
 </strong>
 3&ndash;5 years of hands-on experience in AI/ML engineering, software development, or cloud-based solution delivery.
 <br/>
 <br/>
 Proficiency in Python and libraries such as NumPy, Pandas, scikit-learn, TensorFlow, or PyTorch.
 <br/>
 <br/>
 Experience deploying AI/ML solutions in
 <strong>
  Azure, AWS, or Google Cloud environments
 </strong>
 .
 <br/>
 <br/>
 <strong>
  Skills &amp; Competencies:
  <br/>
  <br/>
 </strong>
 Strong ability to communicate technical concepts clearly to both technical and non-technical audiences.
 <br/>
 <br/>
 Excellent presentation, documentation, and training facilitation skills.
 <br/>
 <br/>
 <strong>
  Joining the CMU team opens the door to an array of exceptional benefits.
  <br/>
  <br/>
 </strong>
 <strong>
  Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.
  <br/>
  <br/>
 </strong>
 <strong>
  Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!
  <br/>
  <br/>
 </strong>
 <strong>
  For a comprehensive overview of the benefits available, explore our Benefits page.
  <br/>
  <br/>
 </strong>
 <strong>
  At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it&rsquo;s about finding the perfect fit for your professional growth and personal aspirations.
  <br/>
  <br/>
 </strong>
 <strong>
  Are you interested in an exciting opportunity with an exceptional organization?! Apply today!
  <br/>
  <br/>
 </strong>
 <strong>
  Location
  <br/>
  <br/>
 </strong>
 Doha, Qatar
 <br/>
 <br/>
 <strong>
  Job Function
  <br/>
  <br/>
 </strong>
 Software/Applications Development/Engineering
 <br/>
 <br/>
 <strong>
  Position Type
  <br/>
  <br/>
 </strong>
 Staff &ndash; Fixed Term (Fixed Term)
 <br/>
 <br/>
 <strong>
  Full Time/Part time
  <br/>
  <br/>
 </strong>
 Full time
 <br/>
 <br/>
 <strong>
  Pay Basis
  <br/>
  <br/>
 </strong>
 <strong>
  More Information:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Please visit &ldquo;Why Carnegie Mellon&rdquo; to learn more about becoming part of an institution inspiring innovations that change the world.
  </li>
  <li>
   Click here to view a listing of employee benefits
  </li>
  <li>
   Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
  </li>
  <li>
   Statement of Assurance
  </li>
 </ul>
</div>


AI Engineer

<div></div><div><div>We are hiring AI Engineer in our Qatar campus.</div><div>
The AI Engineer will serve as a core member of the Computing Services team, responsible for designing, developing, supporting, and deploying AI-driven solutions that advance the campus&rsquo; academic, research, and administrative missions. This role combines strong technical expertise with excellent communication, documentation, and training skills. The AI Engineer will also lead training initiatives to foster AI adoption and promote the responsible, ethical, and innovative use of AI technologies across the campus community.</div><div></div><div>
 Key Responsibilities</div><div></div><div>
 AI Development, Support &amp; Deployment (50%)</div><div>
Serve as a primary support resource for the AI service catalog by addressing inquiries, troubleshooting issues, and ensuring timely resolution in collaboration with technical teams.</div><div>
Maintain, support, and continuously improve existing AI tools and services used by faculty, staff, and students.</div><div>
Design and implement AI solutions using Python and standard frameworks such as scikit-learn, PyTorch, and TensorFlow.</div><div>
Develop and deploy AI services that integrate with both on-premise and cloud infrastructure.</div><div>
Leverage experience with AI/ML solutions in Azure, AWS, or Google Cloud environments to support scalable deployments.</div><div>
Partner with IT security and data governance teams to ensure AI solutions comply with institutional standards, research data policies (e.g., FERPA), and ethical AI guidelines</div><div></div><div>
 Training, Stakeholder Engagement &amp; Documentation (30%)</div><div>
Design and deliver engaging AI workshops tailored to faculty, staff, and students to build AI literacy, awareness, and practical application skills.</div><div>
Create clear and actionable training materials, guides, and documentation that empower campus stakeholders to co-develop and utilize AI solutions.</div><div>
Maintain a comprehensive, user-friendly repository of AI architectures, workflows, project documentation, and educational resources.</div><div></div><div>
 Research, Innovation &amp; Technology Evaluation (10%)</div><div>
Stay up to date on emerging AI trends, frameworks, and cloud services, particularly those relevant to higher education and academic research.</div><div>
Evaluate and recommend new tools, platforms, and frameworks to support instructional innovation, research computing, and operational effectiveness.</div><div>
Identify and explore new AI use cases on campus; contribute to ideation pipelines, pilot initiatives, and early-stage implementations.</div><div>
Collaboration (10%)</div><div>
Work closely with faculty, researchers, staff, and students to understand institutional needs and co-design AI-powered solutions.</div><div>
Cultivate and maintain strong relationships with key stakeholders, vendors, and colleagues across departments and the university&rsquo;s main campus.</div><div></div><div>
Minimum Qualifications</div><div>
Education:</div><div>
Bachelor&rsquo;s degree in Computer Science, Data Science, Engineering, or a related field is required.</div><div>
Master&rsquo;s degree preferred.</div><div>
Experience:</div><div>
3&ndash;5 years of hands-on experience in AI/ML engineering, software development, or cloud-based solution delivery.</div><div>
Proficiency in Python and libraries such as NumPy, Pandas, scikit-learn, TensorFlow, or PyTorch.</div><div>
Experience deploying AI/ML solutions in Azure, AWS, or Google Cloud environments.</div><div>
Skills &amp; Competencies:</div><div>
Strong ability to communicate technical concepts clearly to both technical and non-technical audiences.</div><div>
Excellent presentation, documentation, and training facilitation skills.</div><div></div><div>
Joining the CMU team opens the door to an array of exceptional benefits.</div><div></div><div><div>
Benefits eligible</div> employees enjoy a wide array of benefits including <div>comprehensive medical, prescription, dental, and vision insurance</div> as well as a generous <div>retirement savings program</div> with employer contributions. Unlock your potential with <div>tuition benefits</div>, take well-deserved breaks with ample <div>paid time off</div> and observed <div>holidays</div>, and rest easy with life and accidental death and disability insurance.</div><div></div><div>
Additional perks include a free Pittsburgh Regional Transit bus pass, access to our <div>Family Concierge Team</div> to help navigate childcare needs, <div>fitness center access</div>, and much more!</div><div></div><div>
For a comprehensive overview of the benefits available, explore our <div>Benefits page</div>.</div><div></div><div>
At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it&rsquo;s about finding the perfect fit for your professional growth and personal aspirations.</div><div></div><div>
Are you interested in an exciting opportunity with an exceptional organization?! Apply today!</div><div></div><div>
Location</div>
Doha, Qatar<div>
Job Function</div>
Software/Applications Development/Engineering<div>
Position Type</div>
Staff &ndash; Fixed Term (Fixed Term)<div>
Full Time/Part time</div>
Full time<div>
Pay Basis</div><div>
More Information:</div><div><div><div><div><ul><li><div>
Please visit &ldquo;<div>Why Carnegie Mellon</div>&rdquo; to learn more about becoming part of an institution inspiring innovations that change the world.</div></li><div></div><li><div><br>
Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.</div></li></ul></div></div></div></div></div><div></div>

<div>
 Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
 <br/>
 <br/>
 The company is founder-led, profitable, and growing.
 <br/>
 <br/>
 Help us shape the future of open source IT, devops, and IS, from bare metal to containers. Our goal is to revolutionise open source application and infrastructure operations.
 <br/>
 <br/>
 We want to transform the world of software operations by enabling true model-driven operations via next-generation infrastructure-as-code. This will allow companies to run very efficient bare-metal operations for high-performance computing, private cloud, data lakes, AI/ML, and analytics. We need to invent some new technology, and we need to build some new products; we are therefore looking for someone who can lead and inspire a regional software engineering team to fulfill this initiative.
 <br/>
 <br/>
 The Solutions Engineering team works in close collaboration with our managed infrastructure operations team, which runs many private OpenStack clouds and Kubernetes clusters for customers around the world. This enables us to improve our infra-as-code products based on our own real experience, mirroring that of our users and customers. We work in Python, creating open source automation capabilities that simplify operations for anybody, anywhere, who is building on Ubuntu.
 <br/>
 <br/>
 Most of the team's work involves pure Python software development focused on enabling true DevOps workflows. We strive for high quality in both design, documentation, tests, and performance as we enhance operations code packages and Ubuntu itself in order to ensure our platform is the easiest, most robust, and best performing for driving your infrastructure.
 <br/>
 <br/>
 This role is ideal for software engineers who want to work in a global team, have a passion for distributed systems and cloud computing, and an interest in the entire Linux stack - from kernel to networking to virtualization and containers.
 <br/>
 <br/>
 What you will do
 <br/>
 <br/>
 <ul>
  <li>
   Work in Python and Golang to design and deliver open source software operations code
  </li>
  <li>
   Work with the entire Linux stack, from kernel, networking, storage, to applications
  </li>
  <li>
   Shape high quality open source monitoring and alerting infrastructure
  </li>
  <li>
   Rethink open source operations for our customers and open source community
  </li>
  <li>
   Demonstrate sound engineering design and testing principles in your code
  </li>
  <li>
   Follow agile software development practices
  </li>
  <li>
   Coach and develop your colleagues where you have insights
  </li>
  <li>
   Grow a healthy, collaborative engineering culture in line with the company values
  </li>
  <li>
   Global travel up to 10% of time for internal and external events
   <br/>
   <br/>
  </li>
 </ul>
 Who you are
 <br/>
 <br/>
 <ul>
  <li>
   You are a passionate Python developer
  </li>
  <li>
   You are organised and want your team to deliver timely, high quality software
  </li>
  <li>
   You understand the importance of reliable operations in an agile world
  </li>
  <li>
   You have sound knowledge of cloud computing concepts &amp; technologies
  </li>
  <li>
   You have practical knowledge of Linux and networking
  </li>
  <li>
   You are a lifelong learner
   <br/>
   <br/>
  </li>
 </ul>
 Bonus points for
 <br/>
 <br/>
 <ul>
  <li>
   You have graduated with a university degree in Computer Science or related software engineering field
  </li>
  <li>
   Golang programming skills
   <br/>
   <br/>
  </li>
 </ul>
 What we offer colleagues
 <br/>
 <br/>
 We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
 <br/>
 <br/>
 <ul>
  <li>
   Distributed work environment with twice-yearly team sprints in person
  </li>
  <li>
   Personal learning and development budget of USD 2,000 per year
  </li>
  <li>
   Annual compensation review
  </li>
  <li>
   Recognition rewards
  </li>
  <li>
   Annual holiday leave
  </li>
  <li>
   Maternity and paternity leave
  </li>
  <li>
   Team Member Assistance Program &amp; Wellness Platform
  </li>
  <li>
   Opportunity to travel to new locations to meet colleagues
  </li>
  <li>
   Priority Pass and travel upgrades for long-haul company events
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Canonical
  <br/>
  <br/>
 </strong>
 Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.
 <br/>
 <br/>
 <strong>
  Canonical is an equal opportunity employer
  <br/>
  <br/>
 </strong>
 We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
 <br/>
 <br/>
</div>


Software Engineer - Solutions Engineering

Xanika Infotech

<p>We are seeking a highly skilled and forward-thinking Fullstack Digital Architect to lead the architecture, design, and development of enterprise-grade digital solutions. This role requires deep hands-on experience in Angular, Spring Boot, Node.js, and database design, with strong exposure to solution architecture, system integration, and the design of AI-powered product features.</p><p>The ideal candidate should be well-versed in agile development methodologies, experienced in leading development teams, and capable of translating business requirements into scalable and secure technology solutions.</p><p><b>Key Responsibilities</b></p><p>&middot; Lead the end-to-end architecture and solution design for enterprise digital platforms.</p><p>&middot; Design and develop scalable, secure, and high-performance fullstack applications using Angular (frontend), Spring Boot/Node.js (backend), and relational/NoSQL databases.</p><p>&middot; Apply industry-standard software design principles (e.g., modular architecture) in all aspects of solution planning and implementation.</p><p>&middot; Define and implement system integration strategies, including REST APIs, messaging services, and middleware-based connectivity.</p><p>&middot; Collaborate with AI/ML teams to conceptualize and integrate AI-driven product features (e.g., chatbots, intelligent workflows, recommendation systems).</p><p>&middot; Own the development of design artifacts including high-level and low-level design documents, interface definitions, and data flow diagrams.</p><p>&middot; Ensure seamless interoperability across multiple systems, platforms, and services.</p><p>&middot; Lead and participate in Agile/Scrum ceremonies, including sprint planning, reviews, and retrospectives.</p><p>&middot; Guide the transition of solutions from development to production with DevOps and CI/CD best practices.</p><p>&middot; Mentor developers and conduct code/design reviews to ensure quality and adherence to architectural standards.</p><p>&middot; Collaborate closely with stakeholders and partners, demonstrating strong communication and leadership skills throughout project lifecycles.</p><p><b>Required Skills &amp; Experience</b></p><p>&middot; 8+ years of experience in fullstack software development and solution architecture roles.</p><p>&middot; Proven expertise in:</p><p>o Frontend: Angular, TypeScript, HTML5, SCSS</p><p>o Backend: Spring Boot, Node.js</p><p>o Database: MySQL, PostgreSQL, MongoDB; strong in database schema design, indexing, normalization, and optimization.</p><p>&middot; Deep experience in designing system integrations via APIs (REST/SOAP), message queues (Kafka, RabbitMQ), and enterprise middleware.</p><p>&middot; Strong grounding in software design principles and patterns (MVC, microservices, event-driven architecture, etc.).</p><p>&middot; Demonstrated ability to design and develop AI-powered features in collaboration with data and AI teams.</p><p>&middot; Well-versed in authentication and security standards (OAuth2, OpenID Connect, JWT, role-based access).</p><p>&middot; Experience with cloud-native application design and deployment on Azure, AWS, or GCP.</p><p>&middot; Hands-on with DevOps practices including CI/CD, Docker, Kubernetes, Git, Jenkins, and infrastructure-as-code tools.</p><p>&middot; Strong experience working in Agile Scrum environments with tools like Jira, Confluence, and version control systems.</p><p>&middot; Excellent analytical, communication, and stakeholder management skills&mdash;able to bridge technical and business discussions effectively.</p><p>---</p><p><b>Preferred Qualifications</b></p><p>&middot; Experience working on product development.</p><p>&middot; Exposure to AI/ML pipelines and integration of intelligent services.</p><p>&middot; Familiarity with event-driven systems, streaming architectures, and real-time data solutions.</p><p>&middot; Cloud certifications (e.g., Azure Solutions Architect,Google Solution Architect) are a plus.</p><p>Job Type: Full-time</p><p>Pay: QAR300,000.00 - QAR400,000.00 per year</p>

Fullstack Digital Architect

RASTEC IT

<div>
 About RASTEC IT
 <br/>
 <p>
  RASTEC IT, a division of
  <strong>
   RASTEC Group
  </strong>
  , delivers enterprise-grade software, AI, and automation solutions that power businesses across industries. We are expanding our engineering team with exceptional talent who can design, build, and scale advanced SaaS platforms, intelligent web applications, and modern website builders.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are hiring a
  <strong>
   Senior Full-Stack Software Engineer
  </strong>
  with expertise in AI integration, automation, cloud infrastructure, and secure authentication (OAuth 2.0). This role is ideal for someone who thrives on building products end-to-end &mdash; from web apps to custom website builder platforms &mdash; and wants to lead high-impact projects.
 </p>
 <p>
  <br/>
 </p>
 Key Responsibilities
 <ul>
  <li>
   <strong>
    Architect &amp; Lead:
   </strong>
   Design, develop, and scale SaaS/web platforms from scratch.
  </li>
  <li>
   <strong>
    Web Application Development:
   </strong>
   Build responsive, high-performance, secure web apps.
  </li>
  <li>
   <strong>
    Website Builder Development:
   </strong>
   Create drag-and-drop editors, reusable component systems, and no-code builder functionality.
  </li>
  <li>
   <strong>
    Full-Stack Development:
   </strong>
   Build robust backend APIs and elegant, user-friendly frontends.
  </li>
  <li>
   <strong>
    Cloud Infrastructure:
   </strong>
   Deploy, monitor, and optimize applications on AWS/GCP/Azure.
  </li>
  <li>
   <strong>
    Authentication &amp; Security:
   </strong>
   Implement OAuth 2.0 / OpenID Connect for secure identity management, SSO, and API access.
  </li>
  <li>
   <strong>
    AI Integration:
   </strong>
   Implement LLM-powered features (OpenAI, Anthropic, Gemini, etc.) into production apps.
  </li>
  <li>
   <strong>
    Automation Workflows:
   </strong>
   Build integrations with Google Workspace, Stripe, Shopify, WhatsApp, and custom engines.
  </li>
  <li>
   <strong>
    Performance &amp; Reliability:
   </strong>
   Ensure applications are scalable, SEO-friendly, secure, and optimized.
  </li>
  <li>
   <strong>
    Best Practices:
   </strong>
   Establish coding standards, CI/CD pipelines, automated testing, and mentor junior engineers.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 Requirements
 <br/>
 Core Technical Expertise
 <ul>
  <li>
   <strong>
    Frontend:
   </strong>
   Mastery of Next.js, React, TailwindCSS, shadcn/ui, Framer Motion.
  </li>
  <li>
   <strong>
    Backend:
   </strong>
   Expert-level Node.js (Nest.js/Express) or Python (FastAPI/Django).
  </li>
  <li>
   <strong>
    Databases:
   </strong>
   PostgreSQL/MySQL; experience with vector databases (Pinecone, Weaviate, Qdrant).
  </li>
  <li>
   <strong>
    Architecture:
   </strong>
   Proven ability to design scalable, modular SaaS architectures.
  </li>
  <li>
   <strong>
    Authentication &amp; Security:
   </strong>
   Strong experience with OAuth 2.0, OpenID Connect, and JWT-based authentication.
  </li>
  <li>
   <strong>
    Web &amp; Builder Development:
   </strong>
   Demonstrated experience building complex web apps and website builder platforms (drag-and-drop editors, no-code or low-code tools).
  </li>
 </ul>
 Cloud Infrastructure &amp; DevOps
 <ul>
  <li>
   Deep knowledge of AWS, GCP, or Azure (compute, storage, networking, IAM).
  </li>
  <li>
   Hands-on with Docker &amp; Kubernetes for containerization and orchestration.
  </li>
  <li>
   CI/CD automation (GitHub Actions, GitLab CI, Jenkins).
  </li>
  <li>
   Serverless frameworks: AWS Lambda, Vercel, Supabase, Cloudflare Workers.
  </li>
  <li>
   Infrastructure-as-Code (Terraform or Pulumi) for reproducible deployments.
  </li>
  <li>
   Monitoring &amp; observability (Grafana, Prometheus, Datadog).
  </li>
  <li>
   Experience with scaling + cost optimization in the cloud.
  </li>
 </ul>
 AI &amp; Automation Expertise
 <ul>
  <li>
   Production-level experience with LLMs (OpenAI, Anthropic, Gemini, or local models).
  </li>
  <li>
   Strong prompt engineering and structured output handling (function/tool calling).
  </li>
  <li>
   Experience with automation frameworks (n8n, Make.com, Zapier) or custom workflow engines.
  </li>
  <li>
   Knowledge of Retrieval-Augmented Generation (RAG) pipelines and embeddings.
  </li>
  <li>
   Applied use of AI for SEO, structured data, personalization, and content automation.
  </li>
 </ul>
 Professional Qualities
 <ul>
  <li>
   5+ years of professional full-stack development experience.
  </li>
  <li>
   Track record of leading or owning complex SaaS or no-code/builder projects.
  </li>
  <li>
   Startup/scale-up mindset: self-driven, fast-moving, and hands-on.
  </li>
  <li>
   Strong communication skills and ability to collaborate across teams.
  </li>
 </ul>
</div>


Senior Full-Stack Software Engineer (AI + Cloud + Web App Builders)

Madre Integrated Engineering

<p><b>Primary Responsibilities:</b></p><p>* Design, develop, and maintain interactive Tableau dashboards and visualizations to support data-driven decision-making.</p><p>* Translate business requirements into effective visual analytics using Tableau best practices.</p><p>* Optimize dashboard performance and usability across different devices and screen sizes.</p><p>* Collaborate with business stakeholders and data teams to understand reporting needs and deliver insights.</p><p><b>Required Expertise:</b></p><p>* Proficient in Tableau Desktop and Tableau Server/Online.</p><p>* Strong experience with SQL for data querying, transformation, and performance tuning.</p><p>* Deep understanding of Tableau features such as LOD expressions, table calculations, filters, parameters, and dashboard actions.</p><p>* Ability to connect Tableau to a variety of data sources and manage data extracts efficiently.</p><p>* Familiarity with UX/UI principles for creating intuitive and impactful visualizations.</p><p>* Exposure to AI/ML concepts, with the ability to integrate basic model outputs or insights into dashboards when needed.</p><p><b>Preferred Skills:</b></p><p>* Experience with Tableau Prep for data preparation and cleansing.</p><p>* Basic scripting knowledge (e.g., Python or R) for automation or enhancing analytics capabilities.</p><p>* Familiarity with enterprise BI environments and publishing/embedding Tableau dashboards securely.</p><p>Job Type: Contract<br/>Contract length: 24 months</p><p>Pay: QAR7,000.00 - QAR12,000.00 per month</p>

Tableau Expert

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